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main.py
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"""
Now:
1. It seems that in some circumstances, deal analysis hloops inifinitely
2. We need more tests
3. Main load comes from deal analysis, so it is reasonable to prepare a database of analysed deals and usage of it (many uses of each deal)
But the above points are a bit boring. What is really sexy:
1. Implementation of brain (understood as storing and loading learned weights; maybe together with learning parameters)
What are the players:
1. Player has:
a) used algorithm (SARSA, Monte Carlo, Actor-Critic, ..)
b) features functions (currently I have State and StateFeatures classes)
c) approximation functions for : e.g. linear, quadratic, NN
d) algorithm learning parameters (alpha_w, alpha_theta, ...
"""